Simple Plot¶
Plotting of Measurement Data:¶
- DriveTrain Encoder PID Controller
- Drivetrain Ultrasonic PID Controller
- Real Ultrasonic
Import modules¶
In [1]:
from datetime import datetime, timedelta
import pandas as pd
#%matplotlib inline
#import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
Specify file to read in¶
In [2]:
# Configure your input file here:
fileName = "./data/plots/VCMeasure257.csv"
In [3]:
# Read CSV file into a pandas dataframe
OrigDataFrame = pd.read_csv(fileName);
df = OrigDataFrame.copy()
# Change timestamp to python datatime
df['Time'] = pd.to_datetime(df['Time'], unit='s')
df.set_index('Time',inplace=True)
# Print the first three and last three rows of measurements
#df.take([0,1,2,-3,-2,-1])
# Create a list of relevant measurement periods in the data
dfDay= [group[1] for group in df.groupby(df.index.day)]
dfHourList = []
#print("Total days of measuements:", len(dfDay))
for i in range(len(dfDay)):
dfHour = [group[1] for group in dfDay[i].groupby(dfDay[i].index.hour)]
for j in range(len(dfHour)):
#print("Day: ", i, "Hour: ", j)
dfHourList.append(dfHour[j])
# Show the range of the time stamps
for i in range(len(dfHourList)):
print("Month ",dfHourList[i].index[0].month,"Day ",dfHourList[i].index[0].day,"Hour ",dfHourList[i].index[0].hour)
print("Total hours", len(dfHourList))
Plot the "Speed Percent Error and Target" columns during the observational period¶
In [4]:
labels=dfHourList[0].columns
markers=[ "^", "+", '*', '.'] # optional : marker=(8,2,0)
colors=['b','g','k','r']
linestyles=['--','--','-','-']
for i in range(len(dfHourList)):
fig=plt.figure(figsize=(30,10))
ax=fig.add_subplot(111)
for j in range(len(labels)):
#print("Month ",dfHourList[i].index[0].month,"Day ",dfHourList[i].index[0].day,"Hour ",dfHourList[i].index[0].hour)
ax.plot(dfHourList[i].index,dfHourList[i][labels[j]],c=colors[j],marker=markers[j],ls=linestyles[j],label=labels[j],fillstyle='none')
plt.legend(loc="upper left")
plt.grid(True)
title = print("Month ",dfHourList[i].index[0].month,"Day ",dfHourList[i].index[0].day,"Hour",dfHourList[i].index[0].hour)
ax.set_title(title)
plt.show()
